Clinical judgment model-based nursing simulation scenario for patients with upper gastrointestinal bleeding: A mixed methods study

Author:

Jang AeRi,Park HyunyoungORCID

Abstract

Assisting patients with upper gastrointestinal bleeding is a crucial role for nurses, and as future nurses, students should demonstrate sound clinical judgment. Well-structured, high-quality simulations are useful alternatives to prepare students for clinical practice. However, nursing simulation scenarios focused on enhancing clinical judgment in managing upper gastrointestinal bleeding are limited. This study aims to develop, apply, and evaluate an effective nursing simulation scenario for patients with upper gastrointestinal bleeding based on Tanner’s clinical judgment model using a mixed methods study design. A high-fidelity patient simulation was conducted among 80 undergraduate nursing students divided into a simulated control group (n = 39) and an experimental group (n = 41). Subsequent student performance evaluations used questionnaires and video recordings. After scenario simulations, the students showed a statistically significant increase in theoretical knowledge (p = 0.001) and clinical performance skills (p < 0.001), but there was no significant increase in self-confidence (p = 0.291). According to the video analysis, the “noticing” clinical judgment phase was the most frequently observed phase, while “reflection” was the least frequently observed phase. Additionally, “education” was the most frequently observed nursing domain, and “anxiety” was the least frequently observed domain. Although further simulation repetitions are required to reinforce students’ self-confidence when caring for patients with upper gastrointestinal bleeding, the scenario was deemed effective. Moreover, emphasis should be placed on developing various scenarios to strengthen students’ clinical judgment skills, especially “reflecting” and “emotional care.”

Funder

National Research Foundation of Korea

Publisher

Public Library of Science (PLoS)

Subject

Multidisciplinary

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3